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homework001

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
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xet
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End of training

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  1. README.md +10 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8500
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- - Matthews Correlation: 0.5339
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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- - train_batch_size: 16
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  - eval_batch_size: 16
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- - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - num_epochs: 5
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  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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- | 0.5228 | 1.0 | 535 | 0.4521 | 0.4628 |
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- | 0.3442 | 2.0 | 1070 | 0.4743 | 0.5232 |
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- | 0.2435 | 3.0 | 1605 | 0.6801 | 0.5052 |
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- | 0.1681 | 4.0 | 2140 | 0.7643 | 0.5211 |
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- | 0.1277 | 5.0 | 2675 | 0.8500 | 0.5339 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0680
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+ - Matthews Correlation: 0.5309
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 3.5801518396562525e-05
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+ - train_batch_size: 8
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  - eval_batch_size: 16
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+ - seed: 37
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - num_epochs: 5
 
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  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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+ | 0.5108 | 1.0 | 1069 | 0.4912 | 0.4402 |
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+ | 0.3536 | 2.0 | 2138 | 0.5719 | 0.5015 |
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+ | 0.2655 | 3.0 | 3207 | 0.7624 | 0.5285 |
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+ | 0.1485 | 4.0 | 4276 | 1.0106 | 0.5132 |
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+ | 0.1107 | 5.0 | 5345 | 1.0680 | 0.5309 |
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  ### Framework versions
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